We focus on BNN and QNN that replace floating-point multiplication and addition operations with efficient fixed-point arithmetic. We do not consider algorithms that use low-bit computations at the learning stage; see [1]}, [2]}.
Given the abundance of works, it is impossible to give complete references. We focus mostly on methods used in our benchmarks.
